[ecjhdnc2025]

But it can't come up with a particularly imaginative strategy; it can only come up with a mishmash of existing stuff it has seen, equivocate, or hallucinate a strategy that looks clever but might not be.

So it all needs checking. It's the classic LLM situation. If you're trained enough to spot the errors, the analysis wouldn't take you much time in the first place. And if you're not trained enough to spot the errors...

And let's say it does work. It's like automated exchange betting robots. As soon as everyone has access to a robot that can exploit some hidden pattern in the data for a tiny marginal gain, the price changes and the gain collapses.

So if everyone has the same access to the same banal, general analysis tools, you know what's going to happen: the advantage disappears.

All in all, why would there be any benefits from a generalised model?